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This paper proposes a new method to address the problem of blind speech separation in convolutive mixtures in the time domain. The main idea is extract the innovation processes of speech sources by nonGaussianity maximization and then artificially color them by re-coloration filters. Some simulation experiments of the 2x2 case are presented to illustrate the proposed approach.

Blind Speech Separation in Convolutive Mixtures Using Negentropy Maximization